Resources for Science and Engineering

Table of Contents

• At NPAC, Geoffrey Fox maintains a very useful list for Java for High Performance Scientific and Engineering Computing - Simulation and Modelling. There are links to various discussions as well as papers on the subject. In particular, you'll find there a link to a collection of papers presented at the June 1997 PPoPP Java meeting in Las Vegas. (Syracuse)

Programming Tools

• MPI Java Wrapper is a set of Java Wrappers to MPI implemented using Java 1.0 native class interface. (Syracuse)
• Using Java and JavaScript in the Virtual Programming Laboratory (VPL). VPL is a Web-based virtual programming environment built based on a client-server architecture. The system can be accessed on any platform (Unix, PC, or Mac) using a standard Java-enabled browser. (Syracuse)
• Jack Dongarra maintains a page on Linpack Benchmark for Java. It allows viewers to submit results as well as run the benchmark. Source code and other related links are also included there at Netlib. (Netlib)
• Visual Numerics offers a number or products, among them JWAVE, which is a set of Netscape IFC components for building visual and numerical applications written in Java. (VNI.com)
• Some High Performance Java materials are available at Indiana. (Indiana)
• JavaSci - A science API for Java is a set of Java packages aimed at encapsulating scientific methods/principles in a natural way possible. One can view some of those packages and examples here. (Imperial, UK)
• Scientific and technical computing software is a set of tools in Java. Those are Java classes for scientific computing, classes for Java/C/C++/Fortran interfaces, and classes for distributed applications. (UCLA)

Algorithmic Implementations

• A set of parallel algorithms and animation are available at Parallel Algorithm Animation. (CMU)
• An interesting applet for Crack propagation is available here at Cornell. Also, there is a nice N-Body simulation applets at CMU. (Cornell, CMU)
• A matrix math package for Java, called MatrixCafe' is available at MIT. The idea behind it is to provide a one-to-one mapping of the functions in MATLAB to corresponding functions in Java. (MIT)
• The most widely studied and analyzed algorithms in the field of Computer Science are the sorting algorithms. Here are few of them implemented in Java. (Rochester)

General References and Roadmaps

• For general resources on Computational Science, take a look at Computational Science / Parallel Processing materials. It contains lots of materials on the 3 A's (Architecture, Algorithms, and Applications). (Syracuse)
• Jon Hardwick of CMU has an excellent page for Java Optimization Resources. It lists resources for optimization as well as benchmarking and pointers to yet more resources. (CMU)
• The infospheres group at Caltech maintains a large list of Java Resources . (Caltech)
• The mother of all Java FAQ lists is available at this site. (Net.com)